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Cap647:System Modelling and Analysis: Page:1/1

This document outlines the course CAP647: System Modelling and Analysis which is a 3 credit course. The course aims to teach students to analyze principles of modeling and simulation, apply various system modeling methods and techniques with practical examples, and evaluate output data from models. The course covers topics like system models, system studies, system simulation techniques, continuous and discrete system simulation, probability concepts, arrival patterns and case studies. The main textbook is System Simulation by Geoffrey Gordon.

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Mayank Banoula
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121 views1 page

Cap647:System Modelling and Analysis: Page:1/1

This document outlines the course CAP647: System Modelling and Analysis which is a 3 credit course. The course aims to teach students to analyze principles of modeling and simulation, apply various system modeling methods and techniques with practical examples, and evaluate output data from models. The course covers topics like system models, system studies, system simulation techniques, continuous and discrete system simulation, probability concepts, arrival patterns and case studies. The main textbook is System Simulation by Geoffrey Gordon.

Uploaded by

Mayank Banoula
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
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Download as PDF, TXT or read online on Scribd
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CAP647:SYSTEM MODELLING AND ANALYSIS

L:3 T:0 P:0 Credits:3

Course Outcomes: Through this course students should be able to

• analyze the basic principles and concpets of modeling and simulation

• apply various methods and techniques of system models and give practical examples for
each category.
• evaluate output data produced by a model and apply functional modeling method to
model the activities of a static system.

• understand the operaitions of various system modelling tools and techniques

Unit I
System Models : The concepts of a systems, System environment, Stochastic activities, Continuous
and discrete system, System modeling, Different types of models, Principle used in modeling
Unit II
System studies : subsystems, a corporate model, types of system study, system analysis, system
design, system postulation
Unit III
System simulation : the technique of simulation, the monte carlo method, comparison of simulation
and analytical methods, experimental nature of simulation, types of system simulation, numerical
computation technique for continuous models, numerical computation technique for discrete models
Unit IV
Continuous system simulation : continuous system models, differential equations, analog
computers, analog methods, hybrid computers, digital analog simulators, simulation of an autopilot
Discrete system simulation : discrete events, representation of time, generation of arrival
patterns, simulation of a telephone system
Unit V
Probability concepts in simulation : stochastic variables, discrete probability functions, continuous
probability functions, measures of probability functions, numerical evaluation of continuous probability
functions
Arrival patterns and service times : congestion in systems, arrival patterns, poisson arrival
patterns, the exponential distribution, the coefficient of variation, the erlang distribution
Unit VI
Case Studies : simulation of a single-server queue, simulation of a two-server queue, simulation of a
activity network, forecasting and regression analysis

Text Books:

1. SYSTEM SIMULATION by GEOFFREY GORDON, PEARSON

References:

1. SYSTEM SIMULATION WITH DIGITAL COMPUTER by NARSING DEO, PRENTICE HALL

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